Classification of red blood cell shapes in flow using outlier tolerant machine learning

Alexander Kihm, Lars Kaestner, Christian Wagner +1

The manual evaluation, classification and counting of biological objects demands for an enormous expenditure of time and subjective human input may be a source of error. Investigat…